Predicting Prolonged Wound Drainage after Hemiarthroplasty for Hip Fractures: A Stacked Machine Learning Study-Reference-Cited by-同舟云学术

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Predicting Prolonged Wound Drainage after Hemiarthroplasty for Hip Fractures: A Stacked Machine Learning Study

Published:2023 Issue:6 Volume:15 Page:894
ISSN:2005-291X
Container-title:Clinics in Orthopedic Surgery
language:en
Short-container-title:Clin Orthop Surg

Author:

Turhan Sultan¹^ORCID,Canbek Umut²^ORCID,Dubektas-Canbek Tugba³^ORCID,Dogu Eralp¹^ORCID

Affiliation:

1. Department of Statistics, Mugla Sitki Kocman University, Mugla, Türkiye.

2. Department of Orthopedics and Traumatology, Mugla Sitki Kocman University College of Medicine, Mugla, Türkiye.

3. Department of Internal Medicine, Mugla Sitki Kocman University College of Medicine, Mugla, Türkiye.

Publisher

XMLink

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://ecios.org/pdf/10.4055/cios22181

Reference28 articles.

1. Predictors of Intraoperative Fractures during Hemiarthroplasty for the Treatment of Fragility Hip Fractures

2. The hip fracture incidence curve is shifting to the right

3. Factors associated with prolonged wound drainage after hemiarthroplasty for hip fractures in elderly

4. Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model

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